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Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
This skill extracts YouTube transcripts with or without timestamps, delivering clean text or timestamped captions for any provided video URL.
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill generates complete Dify DSL/YML workflows from user requirements, selecting nodes, parameters, and edges for compliant, ready-to-import files.
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose…
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you implement secure coding practices aligned with OWASP Top 10 to prevent vulnerabilities across authentication, APIs, and data protection.
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you optimize Google search visibility by applying official guidance on SEO, structured data, and monitoring via Search Console.
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 68 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Expert in TypeScript, Node.js, Next.js App Router, React, Shadcn UI, Radix UI and Tailwind
- Fit
- 67 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
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